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Western Kentucky University

Efficient algorithm to construct phi function in vector space secret sharing scheme and application of secret sharing scheme in Visual Cryptography

Abstract

dc:description.abstract

<p>Secret Sharing refers to a method through which a secret key <em>K</em> can be shared among a group of authorized participants, such that when they come together later, they can figure out the secret key <em>K</em> to decrypt the encrypted message. Any group which is not authorized cannot determine the secret key <em>K</em>. Some of the important secret schemes are Shamir Threshold Scheme, Monotone Circuit Scheme, and Brickell Vector Space Scheme. Brikell’s vector space secret sharing construction requires the existence of a function from a set of participant <em>P</em> in to vector space <em>Zdp</em>, where <em>p</em> is a prime number and <em>d</em> is a positive number. There is no known algorithm to construct such a function in general. We developed an efficient algorithm to construct function for some special secret sharing scheme. We also give an algorithm to demonstrate how a secret sharing scheme can be used in visual cryptography.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science
Discipline thesis:degree_discipline
Department of Mathematics and Computer Science
Year
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Potay, Sunny
Contributors dc:contributor
  • Dr. Mustafa Atici, Director, Dr. James Gary, Dr. Qi Li

Subjects

dc:subject × 5

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.wku.edu/theses/1151
OAI identifier oai:identifier
oai:digitalcommons.wku.edu:theses-2154

Chain of custody

source
Harvested from
Western Kentucky University
Base URL
digitalcommons.wku.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Potay, Sunny. Efficient algorithm to construct phi function in vector space secret sharing scheme and application of secret sharing scheme in Visual Cryptography. 2012. https://digitalcommons.wku.edu/theses/1151